Predicting protein stability changes from sequences using support vector machines

  title={Predicting protein stability changes from sequences using support vector machines},
  author={Emidio Capriotti and Piero Fariselli and Remo Calabrese and Rita Casadio},
  volume={21 Suppl 2},
MOTIVATION The prediction of protein stability change upon mutations is key to understanding protein folding and misfolding. At present, methods are available to predict stability changes only when the atomic structure of the protein is available. Methods addressing the same task starting from the protein sequence are, however, necessary in order to complete genome annotation, especially in relation to single nucleotide polymorphisms (SNPs) and related diseases. RESULTS We develop a method… CONTINUE READING


Publications citing this paper.
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Publications referenced by this paper.
Showing 1-10 of 19 references

A neural-network-based method for predicting protein stability changes upon single point mutations

  • E Capriotti
  • Bioinformatics, 20 (suppl
  • 2004

The effect of disease-associated mutations on the folding pathway of human prion protein

  • Apetri, A.C
  • J. Biol. Chem.,
  • 2004

Folding proteins in fatal ways

  • C. M. Topham
  • Nature
  • 2003

Is there a unifying mechanism for protein folding

  • V. Daggett, Fersht A.R
  • Trends Biochem. Sci.,
  • 2003

Three - dimensional structural location and molecular functional effects of missense SNPs in the T cell receptor Vbeta domain

  • H. Zhou, Y. Zhou
  • Proteins
  • 2003

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